Lead responsible AI engineering at McKesson using Python and up-to-date machine learning frameworks to build scalable, explainable healthcare solutions. Shape production AI governance.
As a Senior AI/ML Engineer, RAIB, you will develop, evaluate, govern, and operationalize machine learning and Generative AI solutions. The work combines ML engineering with AI risk management, model explainability, safety evaluation, and production deployment. You will partner across engineering, product, security, and governance teams.
Key Responsibilities: Design, test, and deploy machine learning and Generative AI solutions
Review models for quality, performance, and risk compliance
Establish evaluation frameworks for predictive models and LLM applications
Conduct fairness, bias, and disparate impact assessments




Implement monitoring, drift detection, observability, and AI risk controls
Requirements: Seven or more years supporting production machine learning solutions
Bachelor’s degree or equivalent technical experience
Python, CI/CD, and CLI or scripting tool experience
PyTorch, scikit-learn, and production ML pipeline experience
Cloud infrastructure experience with Azure or AWS programmatically
Apply senior AI engineering expertise across responsible AI, model governance, explainability, and production machine learning at McKesson.

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📌 Senior Responsible AI Engineer (Manitoba)
🏢 McKesson
📍 Manitoba